research-article

Personalized news recommendation based on click behavior

Authors:

Elin Rønby PedersenAuthors Info & Claims

IUI '10: Proceedings of the 15th international conference on Intelligent user interfaces

Pages 31 - 40

https://doi.org/10.1145/1719970.1719976

Published: 07 February 2010 Publication History

Abstract

Online news reading has become very popular as the web provides access to news articles from millions of sources around the world. A key challenge of news websites is to help users find the articles that are interesting to read. In this paper, we present our research on developing personalized news recommendation system in Google News. For users who are logged in and have explicitly enabled web history, the recommendation system builds profiles of users' news interests based on their past click behavior. To understand how users' news interests change over time, we first conducted a large-scale analysis of anonymized Google News users click logs. Based on the log analysis, we developed a Bayesian framework for predicting users' current news interests from the activities of that particular user and the news trends demonstrated in the activity of all users. We combine the content-based recommendation mechanism which uses learned user profiles with an existing collaborative filtering mechanism to generate personalized news recommendations. The hybrid recommender system was deployed in Google News. Experiments on the live traffic of Google News website demonstrated that the hybrid method improves the quality of news recommendation and increases traffic to the site.

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Cited By

Zhao YWang YLiu YCheng XAggarwal CDerr T(2025)Fairness and Diversity in Recommender Systems: A SurveyACM Transactions on Intelligent Systems and Technology10.1145/366492816:1(1-28)Online publication date: 3-Jan-2025
https://dl.acm.org/doi/10.1145/3664928
Sun ZXu YLiu YHe WKong LWu FJiang YCui L(2025)A Survey on Federated Recommendation SystemsIEEE Transactions on Neural Networks and Learning Systems10.1109/TNNLS.2024.335492436:1(6-20)Online publication date: Jan-2025
https://doi.org/10.1109/TNNLS.2024.3354924
Chang CTang FYang PZhang JHuang JLi JLi Z(2025)Multi-view knowledge representation learning for personalized news recommendationScientific Reports10.1038/s41598-025-85166-015:1Online publication date: 7-Jan-2025
https://doi.org/10.1038/s41598-025-85166-0
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Index Terms

Personalized news recommendation based on click behavior
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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Published In

cover image ACM Conferences

IUI '10: Proceedings of the 15th international conference on Intelligent user interfaces

February 2010

460 pages

ISBN:9781605585154

DOI:10.1145/1719970

General Chairs:
Charles Rich
Worcester Polytechnic Institute, USA
,
Qiang Yang
Hong Kong University of Science & Technology, China
,
Program Chairs:
Marc Cavazza
Teesside University, UK
,
Michelle Zhou
IBM Research, China

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 07 February 2010

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IUI '10: 15th International Conference on Intelligent User Interfaces

February 7 - 10, 2010

Hong Kong, China

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Overall Acceptance Rate 746 of 2,811 submissions, 27%

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Cited By

Zhao YWang YLiu YCheng XAggarwal CDerr T(2025)Fairness and Diversity in Recommender Systems: A SurveyACM Transactions on Intelligent Systems and Technology10.1145/366492816:1(1-28)Online publication date: 3-Jan-2025
https://dl.acm.org/doi/10.1145/3664928
Sun ZXu YLiu YHe WKong LWu FJiang YCui L(2025)A Survey on Federated Recommendation SystemsIEEE Transactions on Neural Networks and Learning Systems10.1109/TNNLS.2024.335492436:1(6-20)Online publication date: Jan-2025
https://doi.org/10.1109/TNNLS.2024.3354924
Chang CTang FYang PZhang JHuang JLi JLi Z(2025)Multi-view knowledge representation learning for personalized news recommendationScientific Reports10.1038/s41598-025-85166-015:1Online publication date: 7-Jan-2025
https://doi.org/10.1038/s41598-025-85166-0
Zheng CSong Y(2025)Personalized multi-head self-attention network for news recommendationNeural Networks10.1016/j.neunet.2024.106824181:COnline publication date: 1-Jan-2025
https://dl.acm.org/doi/10.1016/j.neunet.2024.106824
Chen FFischbacher U(2025)Response time and click position: cheap indicators of preferencesJournal of the Economic Science Association10.1007/s40881-016-0026-62:2(109-126)Online publication date: 1-Jan-2025
https://doi.org/10.1007/s40881-016-0026-6
Çiçeklioğlu A(2024)HABERE ÇEVRİM İÇİ ERİŞİMDE YENİ DÖNEM: KİŞİSELLEŞTİRİLMİŞ HABER UYGULAMALARIKritik İletişim Çalışmaları Dergisi10.53281/kritik.14383066:1(99-130)Online publication date: 2-Jul-2024
https://doi.org/10.53281/kritik.1438306
He QWang K(2024)A Hotspot-Aware Personalized News Recommendation Mechanism Based on DistilBERT-TC-MAInternational Journal of Distributed Systems and Technologies10.4018/IJDST.33956515:1(1-19)Online publication date: 9-Apr-2024
https://dl.acm.org/doi/10.4018/IJDST.339565
Zhang DZhu ZWang ZWang JXiao LChen YZhao D(2024)Personalized News Recommendation Method with Double-Layer Residual Connections and Double Multi-Head Self-Attention MechanismsApplied Sciences10.3390/app1413566714:13(5667)Online publication date: 28-Jun-2024
https://doi.org/10.3390/app14135667
Mohini Thakkar (2024)The Distinction Between Search and Discovery Systems : A Scholarly AnalysisInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology10.32628/CSEIT24105104910:5(622-634)Online publication date: 15-Oct-2024
https://doi.org/10.32628/CSEIT241051049
Iana AAlam MPaulheim H(2024)A survey on knowledge-aware news recommender systemsSemantic Web10.3233/SW-22299115:1(21-82)Online publication date: 12-Jan-2024
https://doi.org/10.3233/SW-222991
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